论文标题

生态物理学的生长和动态:文献计量和网络分析

Growth and dynamics of Econophysics: A bibliometric and network analysis

论文作者

Sharma, Kiran, Khurana, Parul

论文摘要

出版物的数字化,通信技术的进步以及书目数据的可用性使研究人员更容易研究任何学科的成长和动态。我们介绍了一项关于从2000 - 2019年Clarivate Analytics管理的从科学网络中提取的“生态植物学”元数据的研究。该研究通过衡量许多出版物,出版物的引用,其他学科的贡献,机构参与,乡村差异等来强调学科的增长和动态。我们调查了每五年间隔的引用对引用的影响。此外,我们通过分析引用的参考文献来找到其他学科的贡献。结果来自Micro,Meso和宏观合作分析表明,作者协作和作者的分支机构之间的分布遵循了权力法。因此,很少有作者继续生产大部分论文,并且来自一些机构。我们发现,中国在生产许多作者和许多论文方面处于领先地位。但是,分享更多的国家合作,而不是国际合作,而美国分享了更多国际合作。最后,我们展示了2000 - 2019年从2000 - 2019年开始的作者合作和分支机构网络的演变。总体而言,分析揭示了网络的“小世界”特性,其平均路径长度为5。由于我们的分析,这项研究可以作为深入的知识,以了解生态物理学网络的增长和动态既有定性和定量。

Digitization of publications, advancement in communication technology, and the availability of bibliographic data have made it easier for the researchers to study the growth and dynamics of any discipline. We present a study on "Econophysics" metadata extracted from the Web of Science managed by the Clarivate Analytics from 2000-2019. The study highlights the growth and dynamics of the discipline by measures of a number of publications, citations on publications, other disciplines contribution, institutions participation, country-wise spread, etc. We investigate the impact of self-citations on citations with every five-year interval. Also, we find the contribution of other disciplines by analyzing the cited references. Results emerged from micro, meso and macro-level analysis of collaborations show that the distributions among authors collaboration and affiliations of authors follow a power law. Thus, very few authors keep producing most of the papers and are from a few institutions. We find that China is leading in the production of a number of authors and a number of papers; however, shares more of national collaboration rather than international, whereas the USA shares more international collaboration. Finally, we demonstrate the evolution of the author's collaborations and affiliations networks from 2000-2019. Overall the analysis reveals the "small-world" property of the network with average path length 5. As a consequence of our analysis, this study can serve as in-depth knowledge to understand the growth and dynamics of the Econophysics network both qualitatively and quantitatively.

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